TY - JOUR
T1 - Governing fiduciary relationships or building up a governance model for trust in AI?
T2 - Review of healthcare as a socio-technical system
AU - Unver, Mehmet Bilal
PY - 2023/3
Y1 - 2023/3
N2 - Fiduciary law aims to mitigate the inherent risk of ‘trust’, which help restore interpersonal trust. It remains to be answered how trust should be governed in an AI-driven socio-technical system where technical and social factors are involved including interpersonal relationships and AI-human interactions. Taking interpersonal trust as the backdrop of analysis, this article seeks answers to this question focusing on healthcare. It firstly draws a conceptual framework regarding trust and investigates its interplay with AI as well as examines how it is governed under the fiduciary law. Subsequently, it upholds a socio-technical system perspective, examining how to enable and sustain trust in an AI-driven socio-technical system. A governance model is then developed to elicit ‘intrinsic’, ‘dynamic’ and ‘ethical’ values of trust attributed to various elements in a tri-partite framework. It is recognised that findings of the literature as to trust, its trajectory and implications can be implemented within the proposed framework. Furthermore, it brings novelty by re-conceptualising the elements of ‘trust’ and associated values, marking distinction to its interpersonal roots and fiduciary relationships. It is considered this governance model, by upholding a holistic viewpoint, provides a generalisable framework that can construct, maintain and restore trust in AI-driven socio-technical systems.
AB - Fiduciary law aims to mitigate the inherent risk of ‘trust’, which help restore interpersonal trust. It remains to be answered how trust should be governed in an AI-driven socio-technical system where technical and social factors are involved including interpersonal relationships and AI-human interactions. Taking interpersonal trust as the backdrop of analysis, this article seeks answers to this question focusing on healthcare. It firstly draws a conceptual framework regarding trust and investigates its interplay with AI as well as examines how it is governed under the fiduciary law. Subsequently, it upholds a socio-technical system perspective, examining how to enable and sustain trust in an AI-driven socio-technical system. A governance model is then developed to elicit ‘intrinsic’, ‘dynamic’ and ‘ethical’ values of trust attributed to various elements in a tri-partite framework. It is recognised that findings of the literature as to trust, its trajectory and implications can be implemented within the proposed framework. Furthermore, it brings novelty by re-conceptualising the elements of ‘trust’ and associated values, marking distinction to its interpersonal roots and fiduciary relationships. It is considered this governance model, by upholding a holistic viewpoint, provides a generalisable framework that can construct, maintain and restore trust in AI-driven socio-technical systems.
KW - Trust
KW - Fiduciary law
KW - Artificial intelligence
U2 - 10.1080/13600869.2023.2192569
DO - 10.1080/13600869.2023.2192569
M3 - Article
JO - International Review of Law, Computers & Technology
JF - International Review of Law, Computers & Technology
SN - 1360-0869
ER -